Researching | Land Use Change Detection Based on GF-1 Satellite Remote Sensing Images

Laser & Optoelectronics Progress, Volume. 57, Issue 16, 162802(2020)

Land Use Change Detection Based on GF-1 Satellite Remote Sensing Images

Qing Fu^1,2,3, Chen Guo^1,2、*, and Wenlang Luo^1,2

Author Affiliations

¹School of Electronics and Information Engineering, Jinggangshan University, Ji'an, Jiang xi 343009, China

²Jiangxi Engineering Laboratory of IoT Technologies for Crop Growth, Ji'an, Jiang xi 343009, China

³College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

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Figures & Tables(5)

Fig. 1. Flow chart of land use classification based on remote sensing images

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Fig. 2. Flow chart of SVM classification

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Fig. 3. Optimal classification hyper-plane

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Table 1. Technical parameters of multi-spectral camera
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Table 1. Technical parameters of multi-spectral camera
Band range /μm Spatialresolution /m Width /km Revisittime /d
0.45-0.52
0.52-0.59 16 800 2
0.63-0.69
0.77-0.89

Table 2. Statistics of land use area change in Nanchang from 2013 to 2017km²
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Table 2. Statistics of land use area change in Nanchang from 2013 to 2017km²
Category 2013-2014 2013-2015 2013-2016 2013-2017
Vegetation -44.2 -38.40 -45.03 -54.74
Water 28.64 19.56 10.12 22.12
Building 11.46 14.52 17.83 19.45
Bare land 20.1 8.32 7.06 5.17

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Qing Fu, Chen Guo, Wenlang Luo. Land Use Change Detection Based on GF-1 Satellite Remote Sensing Images[J]. Laser & Optoelectronics Progress, 2020, 57(16): 162802

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Paper Information

Category: Remote Sensing and Sensors

Received: Nov. 18, 2019

Accepted: Jan. 15, 2020

Published Online: Aug. 5, 2020

The Author Email: Chen Guo (fvqing@163.com)

DOI:10.3788/LOP57.162802

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology